https://github.com/cran/FedData
Tip revision: ec6fb1cf6e009ff2cbdea0287158d33821578667 authored by R. Kyle Bocinsky on 17 March 2024, 00:40:03 UTC
version 4.0.1
version 4.0.1
Tip revision: ec6fb1c
README.md
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`FedData` is an *R* package implementing functions to automate
downloading geospatial data available from several federated data
sources.
Currently, the package enables extraction from nine datasets:
- The [National Elevation Dataset (NED)](https://ned.usgs.gov) digital
elevation models (1 and 1/3 arc-second; USGS)
- The [National Hydrography Dataset
(NHD)](https://www.usgs.gov/national-hydrography/national-hydrography-dataset)
(USGS)
- The [Soil Survey Geographic (SSURGO)
database](https://websoilsurvey.sc.egov.usda.gov/) from the National
Cooperative Soil Survey (NCSS), which is led by the Natural Resources
Conservation Service (NRCS) under the USDA
- The [Global Historical Climatology Network
(GHCN)](https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily),
coordinated by National Climatic Data Center at NOAA
- The [Daymet](https://daymet.ornl.gov/) gridded estimates of daily
weather parameters for North America, version 4, available from the
Oak Ridge National Laboratory’s Distributed Active Archive Center
(DAAC)
- The [International Tree Ring Data Bank
(ITRDB)](https://www.ncei.noaa.gov/products/paleoclimatology/tree-ring),
coordinated by National Climatic Data Center at NOAA
- The [National Land Cover Database (NLCD)](https://www.mrlc.gov/)
- The [NASS Cropland Data
Layer](https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php)
from the National Agricultural Statistics Service
- The
[PAD-US](https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview)
dataset of protected area boundaries from the USGS
This package is designed with the large-scale geographic information
system (GIS) use-case in mind: cases where the use of dynamic
web-services is impractical due to the scale (spatial and/or temporal)
of analysis. It functions primarily as a means of downloading tiled or
otherwise spatially-defined datasets; additionally, it can preprocess
those datasets by extracting data within an area of interest (AoI),
defined spatially. It relies heavily on the
[**sf**](https://cran.r-project.org/package=sf) and
[**terra**](https://cran.r-project.org/package=terra) packages.
### Development
- [Kyle Bocinsky](https://www.bocinsky.io) - Montana Climate Office,
Missoula, MT
### Contributors
- Dylan Beaudette - USDA-NRCS Soil Survey Office, Sonora, CA
- Jeffrey Hollister - US EPA Atlantic Ecology Division, Narragansett, RI
- Scott Chamberlain - ROpenSci and Museum of Paleontology at UC Berkeley
### Install `FedData`
- From CRAN:
``` r
install.packages("FedData")
```
- Development version from GitHub:
``` r
install.packages("devtools")
devtools::install_github("ropensci/FedData")
```
- Linux: Follow instructions for installing `sf` available at
<https://r-spatial.github.io/sf/>, then install either from CRAN or
GitHub.
### Getting Started
Check out our [Getting Started
article](https://docs.ropensci.org/FedData/articles/FedData.html).
### Acknowledgements
This package is a product of SKOPE ([Synthesizing Knowledge of Past
Environments](https://www.openskope.org/)) and the [Village Ecodynamics
Project](https://crowcanyon.github.io/veparchaeology/) through grants
awarded to the University of Montana, the [Crow Canyon Archaeological
Center](https://crowcanyon.org/), and Washington State University by the
National Science Foundation. This software is licensed under the [MIT
license](https://opensource.org/license/mit). Continuing development is
supported by the [Montana Climate Office](https://climate.umt.edu).
FedData was reviewed for [rOpenSci](https://ropensci.org) by
[@jooolia](https://github.com/jooolia), and was greatly improved as a
result. [rOpenSci](https://ropensci.org) on-boarding was coordinated by
[@sckott](https://github.com/sckott).
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